IDEAS home Printed from https://ideas.repec.org/p/ipc/pbespa/7.html
   My bibliography  Save this paper

Ingresos de la Gran Mayoría (IGM): Una Nueva Medida de la Desigualdad Mundial

Author

Listed:
  • Anwar Shaikh

    (IPC-IG)

  • Amr Ragab

    (IPC-IG)

Abstract

No abstract is available for this item.

Suggested Citation

  • Anwar Shaikh & Amr Ragab, 2009. "Ingresos de la Gran Mayoría (IGM): Una Nueva Medida de la Desigualdad Mundial," Policy Research Brief 7, International Policy Centre for Inclusive Growth.
  • Handle: RePEc:ipc:pbespa:7
    as

    Download full text from publisher

    File URL: https://ipcig.org/sites/default/files/pub/es/IPCPolicyResearchBrief7.pdf
    File Function: First version, 2009
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Drăgulescu & V.M. Yakovenko, 2001. "Evidence for the exponential distribution of income in the USA," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 20(4), pages 585-589, April.
    2. Sreenivasan Subramanian, 2004. "Indicators of Inequality and Poverty," WIDER Working Paper Series RP2004-25, World Institute for Development Economic Research (UNU-WIDER).
    3. Anwar Shaikh, Amr Ragab, 2007. "WP 2007-3 An International Comparison of the Incomes of the Vast Majority," SCEPA working paper series. 2007-3, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    4. Douglas A. Hicks, 2004. "Inequalities, Agency, and Well-being: Conceptual Linkages and Measurement Challenges in Development," WIDER Working Paper Series RP2004-31, World Institute for Development Economic Research (UNU-WIDER).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anwar Shaikh & Amr Ragab, 2023. "Some universal patterns in income distribution: An econophysics approach," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 248-264, February.
    2. Anwar Shaikh & Amr Ragab, 2007. "The Vast Majority Income (VMI): A New Measure of Global Inequality," SCEPA policy note series. 2007-02, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    3. Peter J. Lambert & Subbu Subramanian, 2015. "Shaikh and Ragab's `Incomes of the Vast Majority': Some additions and extensions," Working Papers 354, ECINEQ, Society for the Study of Economic Inequality.
    4. Anwar Shaikh, 2018. "Some Universal Patterns in Income Distribution: An Econophysics Approach," Working Papers 1808, New School for Social Research, Department of Economics.
    5. Anwar Shaikh, Amr Ragab, 2007. "WP 2007-3 An International Comparison of the Incomes of the Vast Majority," SCEPA working paper series. 2007-3, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Ellis Scharfenaker, Markus P.A. Schneider, 2019. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Paper Series, Department of Economics, University of Utah 2019_08, University of Utah, Department of Economics.
    7. Costas Efthimiou & Adam Wearne, 2016. "Household Income Distribution in the USA," Papers 1602.06234, arXiv.org.
    8. Hernández-Ramírez, E. & del Castillo-Mussot, M. & Hernández-Casildo, J., 2021. "World per capita gross domestic product measured nominally and across countries with purchasing power parity: Stretched exponential or Boltzmann–Gibbs distribution?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    9. Vani K. Borooah & Paddy Hillyard & Mike Tomlinson, 2006. "Equity‐Sensitive Indicators Of Living Standards With An Application To Northern Ireland," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(5), pages 616-635, November.
    10. Jonathan Baron & Barbara A. Mellers & Philip E. Tetlock & Eric Stone & Lyle H. Ungar, 2014. "Two Reasons to Make Aggregated Probability Forecasts More Extreme," Decision Analysis, INFORMS, vol. 11(2), pages 133-145, June.
    11. Makowsky, Michael, 2009. "Religious Extremism, Clubs, and Civil Liberties: A Model of Religious Populations," MPRA Paper 14358, University Library of Munich, Germany.
    12. Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
    13. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    14. Ricardo Lopez-Ruiz, 2012. "Complex Systems with Trivial Dynamics," Papers 1210.6481, arXiv.org.
    15. Fabio Clementi & Mauro Gallegati, 2005. "Pareto's Law of Income Distribution: Evidence for Grermany, the United Kingdom, and the United States," Microeconomics 0505006, University Library of Munich, Germany.
    16. Tao, Yong, 2015. "Universal laws of human society’s income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 435(C), pages 89-94.
    17. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    18. Kaldasch, Joachim, 2012. "Evolutionary model of the personal income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5628-5642.
    19. Shaikh, Anwar & Jacobo, Juan Esteban, 2020. "Economic Arbitrage and the Econophysics of Income Inequality," Review of Behavioral Economics, now publishers, vol. 7(4), pages 299–315-2, December.
    20. Inoue, Jun-ichi & Ghosh, Asim & Chatterjee, Arnab & Chakrabarti, Bikas K., 2015. "Measuring social inequality with quantitative methodology: Analytical estimates and empirical data analysis by Gini and k indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 184-204.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipc:pbespa:7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andre Lyra (email available below). General contact details of provider: https://edirc.repec.org/data/ipcunbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.